# -*- coding: utf-8 -*-
"""
Tests for allmydata.immutable.happiness_upload and
allmydata.util.happinessutil.

Ported to Python 3.
"""

from twisted.trial import unittest
from hypothesis import given
from hypothesis.strategies import text, sets

from allmydata.immutable import happiness_upload
from allmydata.util.happinessutil import servers_of_happiness, \
    shares_by_server, merge_servers
from allmydata.test.common import ShouldFailMixin


class HappinessUploadUtils(unittest.TestCase):
    """
    test-cases for happiness_upload utility functions augmenting_path_for and
    residual_network.
    """

    def test_residual_0(self):
        graph = happiness_upload._servermap_flow_graph(
            ['peer0'],
            ['share0'],
            servermap={
                'peer0': ['share0'],
            }
        )
        flow = [[0 for _ in graph] for _ in graph]

        residual, capacity = happiness_upload.residual_network(graph, flow)

        # XXX no idea if these are right; hand-verify
        self.assertEqual(residual, [[1], [2], [3], []])
        self.assertEqual(capacity, [[0, 1, 0, 0], [-1, 0, 1, 0], [0, -1, 0, 1], [0, 0, -1, 0]])

    def test_trivial_maximum_graph(self):
        self.assertEqual(
            {},
            happiness_upload._compute_maximum_graph([], {})
        )

    def test_trivial_flow_graph(self):
        self.assertEqual(
            [],
            happiness_upload._servermap_flow_graph(set(), set(), {})
        )


class Happiness(unittest.TestCase):

    def test_placement_simple(self):

        shares = {'share0', 'share1', 'share2'}
        peers = {'peer0', 'peer1'}
        readonly_peers = {'peer0'}
        peers_to_shares = {
            'peer0': {'share2'},
            'peer1': [],
        }

        places = happiness_upload.share_placement(peers, readonly_peers, shares, peers_to_shares)

        self.assertEqual(
            places,
            {
                'share0': 'peer1',
                'share1': 'peer1',
                'share2': 'peer0',
            }
        )

    def test_placement_1(self):

        shares = {
            'share0', 'share1', 'share2',
            'share3', 'share4', 'share5',
            'share6', 'share7', 'share8',
            'share9',
        }
        peers = {
            'peer0', 'peer1', 'peer2', 'peer3',
            'peer4', 'peer5', 'peer6', 'peer7',
            'peer8', 'peer9', 'peerA', 'peerB',
        }
        readonly_peers = {'peer0', 'peer1', 'peer2', 'peer3'}
        peers_to_shares = {
            'peer0': {'share0'},
            'peer1': {'share1'},
            'peer2': {'share2'},
            'peer3': {'share3'},
            'peer4': {'share4'},
            'peer5': {'share5'},
            'peer6': {'share6'},
            'peer7': {'share7'},
            'peer8': {'share8'},
            'peer9': {'share9'},
            'peerA': set(),
            'peerB': set(),
        }

        places = happiness_upload.share_placement(peers, readonly_peers, shares, peers_to_shares)

        # actually many valid answers for this, so long as peer's 0,
        # 1, 2, 3 all have share 0, 1, 2 3.

        # share N maps to peer N
        # i.e. this says that share0 should be on peer0, share1 should
        # be on peer1, etc.
        expected = {
            'share{}'.format(i): 'peer{}'.format(i)
            for i in range(10)
        }
        self.assertEqual(expected, places)

    def test_unhappy(self):
        shares = {
            'share1', 'share2', 'share3', 'share4', 'share5',
        }
        peers = {
            'peer1', 'peer2', 'peer3', 'peer4',
        }
        readonly_peers = set()
        peers_to_shares = {}
        places = happiness_upload.share_placement(peers, readonly_peers, shares, peers_to_shares)
        happiness = happiness_upload.calculate_happiness(places)
        self.assertEqual(4, happiness)

    def test_hypothesis0(self):
        peers={u'0', u'00'}
        shares={u'0', u'1'}
        readonly_peers = set()
        peers_to_shares = dict()

        #h = happiness_upload.HappinessUpload(peers, readonly_peers, shares, peers_to_shares)
        #places = h.generate_mappings()
        #happiness = h.happiness()

        places = happiness_upload.share_placement(peers, readonly_peers, shares, peers_to_shares)
        happiness = happiness_upload.calculate_happiness(places)

        self.assertEqual(2, happiness)

    def test_100(self):
        peers = set(['peer{}'.format(x) for x in range(100)])
        shares = set(['share{}'.format(x) for x in range(100)])
        readonly_peers = set()
        peers_to_shares = dict()

        places = happiness_upload.share_placement(peers, readonly_peers, shares, peers_to_shares)
        happiness = happiness_upload.calculate_happiness(places)

        self.assertEqual(100, happiness)

    def test_redistribute(self):
        """
        with existing shares 0, 3 on a single servers we can achieve
        higher happiness by moving one of those shares to a new server
        """
        peers = {'a', 'b', 'c', 'd'}
        shares = {'0', '1', '2', '3'}
        readonly_peers = set()
        peers_to_shares = {
            'a': set(['0']),
            'b': set(['1']),
            'c': set(['2', '3']),
        }
        # we can achieve more happiness by moving "2" or "3" to server "d"

        places = happiness_upload.share_placement(peers, readonly_peers, shares, peers_to_shares)
        #print("places %s" % places)
        #places = happiness_upload.slow_share_placement(peers, readonly_peers, shares, peers_to_shares)
        #print("places %s" % places)

        happiness = happiness_upload.calculate_happiness(places)
        self.assertEqual(4, happiness)

    def test_calc_happy(self):
        # share -> server
        share_placements = {
            0: "\x0e\xd6\xb3>\xd6\x85\x9d\x94')'\xf03:R\x88\xf1\x04\x1b\xa4",
            1: '\xb9\xa3N\x80u\x9c_\xf7\x97FSS\xa7\xbd\x02\xf9f$:\t',
            2: '\xb9\xa3N\x80u\x9c_\xf7\x97FSS\xa7\xbd\x02\xf9f$:\t',
            3: '\xb9\xa3N\x80u\x9c_\xf7\x97FSS\xa7\xbd\x02\xf9f$:\t',
            4: '\xb9\xa3N\x80u\x9c_\xf7\x97FSS\xa7\xbd\x02\xf9f$:\t',
            5: '\xb9\xa3N\x80u\x9c_\xf7\x97FSS\xa7\xbd\x02\xf9f$:\t',
            6: '\xb9\xa3N\x80u\x9c_\xf7\x97FSS\xa7\xbd\x02\xf9f$:\t',
            7: '\xb9\xa3N\x80u\x9c_\xf7\x97FSS\xa7\xbd\x02\xf9f$:\t',
            8: '\xb9\xa3N\x80u\x9c_\xf7\x97FSS\xa7\xbd\x02\xf9f$:\t',
            9: '\xb9\xa3N\x80u\x9c_\xf7\x97FSS\xa7\xbd\x02\xf9f$:\t',
        }
        happy = happiness_upload.calculate_happiness(share_placements)
        self.assertEqual(2, happy)

    def test_hypothesis_0(self):
        """
        an error-case Hypothesis found
        """
        peers={u'0'}
        shares={u'0', u'1'}

        places = happiness_upload.share_placement(peers, set(), shares, {})
        happiness = happiness_upload.calculate_happiness(places)

        assert set(places.values()).issubset(peers)
        assert happiness == min(len(peers), len(shares))

    def test_hypothesis_1(self):
        """
        an error-case Hypothesis found
        """
        peers = {u'0', u'1', u'2', u'3'}
        shares = {u'0', u'1', u'2', u'3', u'4', u'5', u'6', u'7', u'8'}

        places = happiness_upload.share_placement(peers, set(), shares, {})
        happiness = happiness_upload.calculate_happiness(places)

        assert set(places.values()).issubset(peers)
        assert happiness == min(len(peers), len(shares))

    def test_everything_broken(self):
        peers = set()
        shares = {u'0', u'1', u'2', u'3'}

        places = happiness_upload.share_placement(peers, set(), shares, {})
        self.assertEqual(places, dict())


class PlacementTests(unittest.TestCase):

    @given(
        sets(elements=text(min_size=1, max_size=30), min_size=4, max_size=4),
        sets(elements=text(min_size=1, max_size=30), min_size=4),
    )
    def test_hypothesis_unhappy(self, peers, shares):
        """
        similar to test_unhappy we test that the resulting happiness is
        always 4 since the size of peers is 4.
        """
        # https://hypothesis.readthedocs.io/en/latest/data.html#hypothesis.strategies.sets
        # hypothesis.strategies.sets(elements=None, min_size=None, average_size=None, max_size=None)[source]
        readonly_peers = set()
        peers_to_shares = {}
        places = happiness_upload.share_placement(peers, readonly_peers, shares, peers_to_shares)
        happiness = happiness_upload.calculate_happiness(places)
        assert set(places.keys()) == shares
        assert happiness == 4

    @given(
        sets(elements=text(min_size=1, max_size=30), min_size=1, max_size=10),
        # can we make a readonly_peers that's a subset of           ^
        sets(elements=text(min_size=1, max_size=30), min_size=1, max_size=20),
    )
    def test_more_hypothesis(self, peers, shares):
        """
        similar to test_unhappy we test that the resulting happiness is
        always either the number of peers or the number of shares
        whichever is smaller.
        """
        # https://hypothesis.readthedocs.io/en/latest/data.html#hypothesis.strategies.sets
        # hypothesis.strategies.sets(elements=None, min_size=None, average_size=None, max_size=None)[source]
        # XXX would be nice to paramaterize these by hypothesis too
        readonly_peers = set()
        peers_to_shares = {}

        places = happiness_upload.share_placement(peers, readonly_peers, set(list(shares)), peers_to_shares)
        happiness = happiness_upload.calculate_happiness(places)

        # every share should get placed
        assert set(places.keys()) == shares

        # we should only use peers that exist
        assert set(places.values()).issubset(peers)

        # if we have more shares than peers, happiness is at most # of
        # peers; if we have fewer shares than peers happiness is capped at
        # # of peers.
        assert happiness == min(len(peers), len(shares))


class FakeServerTracker:
    def __init__(self, serverid, buckets):
        self._serverid = serverid
        self.buckets = buckets
    def get_serverid(self):
        return self._serverid


class HappinessUtilTests(unittest.TestCase, ShouldFailMixin):
    """Tests for happinesutil.py."""

    def test_merge_servers(self):
        # merge_servers merges a list of upload_servers and a dict of
        # shareid -> serverid mappings.
        shares = {
                    1 : set(["server1"]),
                    2 : set(["server2"]),
                    3 : set(["server3"]),
                    4 : set(["server4", "server5"]),
                    5 : set(["server1", "server2"]),
                 }
        # if not provided with a upload_servers argument, it should just
        # return the first argument unchanged.
        self.failUnlessEqual(shares, merge_servers(shares, set([])))
        trackers = []
        for (i, server) in [(i, "server%d" % i) for i in range(5, 9)]:
            t = FakeServerTracker(server, [i])
            trackers.append(t)
        expected = {
                    1 : set(["server1"]),
                    2 : set(["server2"]),
                    3 : set(["server3"]),
                    4 : set(["server4", "server5"]),
                    5 : set(["server1", "server2", "server5"]),
                    6 : set(["server6"]),
                    7 : set(["server7"]),
                    8 : set(["server8"]),
                   }
        self.failUnlessEqual(expected, merge_servers(shares, set(trackers)))
        shares2 = {}
        expected = {
                    5 : set(["server5"]),
                    6 : set(["server6"]),
                    7 : set(["server7"]),
                    8 : set(["server8"]),
                   }
        self.failUnlessEqual(expected, merge_servers(shares2, set(trackers)))
        shares3 = {}
        trackers = []
        expected = {}
        for (i, server) in [(i, "server%d" % i) for i in range(10)]:
            shares3[i] = set([server])
            t = FakeServerTracker(server, [i])
            trackers.append(t)
            expected[i] = set([server])
        self.failUnlessEqual(expected, merge_servers(shares3, set(trackers)))


    def test_servers_of_happiness_utility_function(self):
        # These tests are concerned with the servers_of_happiness()
        # utility function, and its underlying matching algorithm. Other
        # aspects of the servers_of_happiness behavior are tested
        # elsehwere These tests exist to ensure that
        # servers_of_happiness doesn't under or overcount the happiness
        # value for given inputs.

        # servers_of_happiness expects a dict of
        # shnum => set(serverids) as a preexisting shares argument.
        test1 = {
                 1 : set(["server1"]),
                 2 : set(["server2"]),
                 3 : set(["server3"]),
                 4 : set(["server4"])
                }
        happy = servers_of_happiness(test1)
        self.failUnlessEqual(4, happy)
        test1[4] = set(["server1"])
        # We've added a duplicate server, so now servers_of_happiness
        # should be 3 instead of 4.
        happy = servers_of_happiness(test1)
        self.failUnlessEqual(3, happy)
        # The second argument of merge_servers should be a set of objects with
        # serverid and buckets as attributes. In actual use, these will be
        # ServerTracker instances, but for testing it is fine to make a
        # FakeServerTracker whose job is to hold those instance variables to
        # test that part.
        trackers = []
        for (i, server) in [(i, "server%d" % i) for i in range(5, 9)]:
            t = FakeServerTracker(server, [i])
            trackers.append(t)
        # Recall that test1 is a server layout with servers_of_happiness
        # = 3.  Since there isn't any overlap between the shnum ->
        # set([serverid]) correspondences in test1 and those in trackers,
        # the result here should be 7.
        test2 = merge_servers(test1, set(trackers))
        happy = servers_of_happiness(test2)
        self.failUnlessEqual(7, happy)
        # Now add an overlapping server to trackers. This is redundant,
        # so it should not cause the previously reported happiness value
        # to change.
        t = FakeServerTracker("server1", [1])
        trackers.append(t)
        test2 = merge_servers(test1, set(trackers))
        happy = servers_of_happiness(test2)
        self.failUnlessEqual(7, happy)
        test = {}
        happy = servers_of_happiness(test)
        self.failUnlessEqual(0, happy)
        # Test a more substantial overlap between the trackers and the
        # existing assignments.
        test = {
            1 : set(['server1']),
            2 : set(['server2']),
            3 : set(['server3']),
            4 : set(['server4']),
        }
        trackers = []
        t = FakeServerTracker('server5', [4])
        trackers.append(t)
        t = FakeServerTracker('server6', [3, 5])
        trackers.append(t)
        # The value returned by servers_of_happiness is the size
        # of a maximum matching in the bipartite graph that
        # servers_of_happiness() makes between serverids and share
        # numbers. It should find something like this:
        # (server 1, share 1)
        # (server 2, share 2)
        # (server 3, share 3)
        # (server 5, share 4)
        # (server 6, share 5)
        #
        # and, since there are 5 edges in this matching, it should
        # return 5.
        test2 = merge_servers(test, set(trackers))
        happy = servers_of_happiness(test2)
        self.failUnlessEqual(5, happy)
        # Zooko's first puzzle:
        # (from http://allmydata.org/trac/tahoe-lafs/ticket/778#comment:156)
        #
        # server 1: shares 0, 1
        # server 2: shares 1, 2
        # server 3: share 2
        #
        # This should yield happiness of 3.
        test = {
            0 : set(['server1']),
            1 : set(['server1', 'server2']),
            2 : set(['server2', 'server3']),
        }
        self.failUnlessEqual(3, servers_of_happiness(test))
        # Zooko's second puzzle:
        # (from http://allmydata.org/trac/tahoe-lafs/ticket/778#comment:158)
        #
        # server 1: shares 0, 1
        # server 2: share 1
        #
        # This should yield happiness of 2.
        test = {
            0 : set(['server1']),
            1 : set(['server1', 'server2']),
        }
        self.failUnlessEqual(2, servers_of_happiness(test))


    def test_shares_by_server(self):
        test = dict([(i, set(["server%d" % i])) for i in range(1, 5)])
        sbs = shares_by_server(test)
        self.failUnlessEqual(set([1]), sbs["server1"])
        self.failUnlessEqual(set([2]), sbs["server2"])
        self.failUnlessEqual(set([3]), sbs["server3"])
        self.failUnlessEqual(set([4]), sbs["server4"])
        test1 = {
                    1 : set(["server1"]),
                    2 : set(["server1"]),
                    3 : set(["server1"]),
                    4 : set(["server2"]),
                    5 : set(["server2"])
                }
        sbs = shares_by_server(test1)
        self.failUnlessEqual(set([1, 2, 3]), sbs["server1"])
        self.failUnlessEqual(set([4, 5]), sbs["server2"])
        # This should fail unless the serverid part of the mapping is a set
        test2 = {1: "server1"}
        self.shouldFail(AssertionError,
                       "test_shares_by_server",
                       "",
                       shares_by_server, test2)
